Adherence to quality indicators and best practices in surveillance endoscopy of Barrett's esophagus: A video-based assessment

Background and study aims Adherence to quality indicators (QIs) and best practices (BPs) for endoscopic surveillance of Barrett's esophagus (BE) is low based on clinical documentation which is an inaccurate representation of events occurring during procedures. This study aimed to assess adherence to measurable QI and BP using video evaluation. Methods We performed a single center video-based retrospective review of surveillance endoscopies performed for BE ≥1 cm between March 1, 2018 and October 1, 2020. Adherence to QIs and BPs was assessed through video review and documentation. Videos were evaluated by five gastroenterologists. Interrater variability was determined using 10 videos before reviewing the remaining 128 videos. A generalized linear regression model was used to determine predictors of adherence to QIs and BPs. Results There were 138 endoscopies reviewed. Inspection with virtual chromoendoscopy (VC) occurred in 75 cases (54%) on video review with documentation in 50 of these cases (67%). Adherence to the Seattle protocol (SP) occurred in 74 cases (54%) on video review with documentation in 28 of these cases (38%). Use of VC or the SP was documented but not observed on video review in 16 (12%) and 30 (22%) cases, respectively. Length of BE was associated with increased use of the Prague classification (odds ratio [OR] 1.21, 95% confidence interval [CI] 1.07-1.37) while years in practice was associated with a decreased likelihood of VC use (OR 0.93, 95% CI 0.88-0.99). Conclusions This study validates prior data demonstrating poor adherence to QIs and BPs and highlights discrepancies between clinical documentation and events occurring during procedures.

Do gender differences exist in letters of recommendation for reproductive endocrinology and infertility fellowship?

OBJECTIVE(S)

To determine if gender differences exist in letters of recommendation (LORs) for reproductive endocrinology and infertility fellowship.

DESIGN

Cohort study.

SETTING

Academic medical center.

PATIENTS

A cohort of applicants to a reproductive endocrinology and infertility fellowship program at a single Midwestern academic institution in a single year.

INTERVENTIONS

None.

MAIN OUTCOME MEASURES

Quantitative measures included linguistics inquiry and word count analysis, with 4 summary variables and 25 word categories, to quantify tone and themes present by gender. Performing qualitative analysis in parallel to linguistic analysis allowed for the exploration of themes not conveyed in quantitative methods alone. Qualitative measures included the frequency of code themes in LOR by applicant gender.

RESULTS

There were 272 letters from 72 applicants, 54 (76%) of which were women and 17 (24%) were men. One applicant was excluded because gender information was not specified; 269 letters were included in the quantitative linguistics and qualitative coding analysis. One hundred 10 letters (41%) were written by women and 159 (59%) by men. LOR written for men had a higher mean word count than those written for women (537 vs. 474, P=.04). Linguistics Inquiry and Word Count analysis exhibited more risk words used to describe men applicants (P=.01). When comparing word categories by letter writer gender, women letter writers more frequently used communal, affect, and home word categories whereas men writers more frequently used affiliation-related words. Qualitative analysis revealed that letters for men applicants described leadership, altruism, rapport with patients, and strong endorsements more frequently, whereas women applicants' letters more often mentioned doubt raisers and disclosures of personal life. In addition, letters for women applicants more often described candidates as drama free, not easy to "fluster," and not complainers. Furthermore, letters for women more frequently disclosed parenthood status.

CONCLUSIONS

Gender differences exist among both letter writers and applicants. Qualitative analysis revealed that women applicants were more likely to be described with doubt raisers and personal life disclosures, whereas men were more likely to be described by their altruism and with a strong endorsement. Increasing bias awareness and implementing mitigation strategies would improve gender equity in LOR.

MidCog study: a prospective, observational cohort study investigating health literacy, self-management skills and cognitive function in middle-aged adults

INTRODUCTION

The lack of definitive means to prevent or treat cognitive impairment or dementia is driving intense efforts to identify causal mechanisms. Recent evidence suggests clinically meaningful declines in cognition might present as early as middle age. Studying cognitive changes in middle adulthood could elucidate modifiable factors affecting later cognitive and health outcomes, yet few cognitive ageing studies include this age group. The purpose of the MidCog study is to begin investigations of less-studied and potentially modifiable midlife determinants of later life cognitive outcomes.

METHODS AND ANALYSIS

MidCog is a prospective cohort study of adults ages 35-64, with two in-person interviews 2.5 years apart. Data will be collected from interviews, electronic health records and pharmacy fill data. Measurements will include health literacy, self-management skills, cognitive function, lifestyle and health behaviours, healthcare use, health status and chronic disease outcomes. Associations of health literacy and self-management skills with health behaviours and cognitive/health outcomes will be examined in a series of regression models, and moderating effects of modifiable psychosocial factors.Finally, MidCog data will be linked to an ongoing, parallel cohort study of older adults recruited at ages 55-74 in 2008 ('LitCog'; ages 70-90 in 2023), to explore associations between age, health literacy, self-management skills, chronic diseases, health status and cognitive function among adults ages 35-90.

ETHICS AND DISSEMINATION

The Institutional Review Board at Northwestern University has approved the MidCog study protocol (STU00214736). Results will be published in peer-reviewed journals and summaries will be provided to the funders of the study as well as patients.

Effects of a Smartphone-Based Self-management Intervention for Individuals With Bipolar Disorder on Relapse, Symptom Burden, and Quality of Life: A Randomized Clinical Trial

Importance

Bipolar disorder-specific psychotherapy combined with pharmacotherapy improves relapse risk, symptom burden, and quality of life, but psychotherapy is not easily accessible.

Objective

To determine if a smartphone-based self-management intervention (LiveWell) can assist individuals with bipolar disorder to maintain wellness.

Design, Setting, and Participants

An assessor-blind randomized clinical trial enrolled participants from March 20, 2017, to April 25, 2019, with 48-week follow-up ending on April 10, 2020. Participants were randomly assigned to usual care or usual care plus the smartphone intervention stratified by relapse risk based on initial clinical status (low risk: asymptomatic recovery; high risk: continued symptomatic, prodromal, recovering, symptomatic recovery). Participants with bipolar disorder I were recruited from clinics in the Chicago and Minneapolis-Saint Paul areas. Data were analyzed from June 19, 2020, to May 25, 2022.

Interventions

The smartphone-based self-management intervention consisted of an application (app), coach, and website. Over 16 weeks, participants had a coach visit followed by 6 phone calls, and they completed daily and weekly app check-ins. The app provided adaptive feedback and information for developing a personalized wellness plan, the coach provided support, and the website provided summary data and alerts.

Main Outcomes and Measures

The primary outcome was time to relapse. Secondary outcomes were percentage-time symptomatic, symptom severity, and quality of life.

Results

Of the 205 randomized participants (mean [SD] age, 42 [12] years; 125 female individuals [61%]; 5 Asian [2%], 21 Black [10%], 13 Hispanic or Latino [6%], 7 multiracial [3%], 170 White [83%], 2 unknown race [1%]), 81 (40%) were randomly assigned to usual care, and 124 (60%) were randomly assigned to usual care plus the smartphone intervention. This clinical trial did not detect a reduction in relapse risk for the smartphone intervention (hazard ratio [HR], 0.65; 95% CI, 0.39-1.09; log-rank P = .08). However, decreased relapse was observed for low-risk individuals (HR, 0.32; 95% CI, 0.12-0.88; log-rank P = .02) but not high-risk individuals (HR, 0.86; 95% CI, 0.47-1.57; log-rank P = .62). Reduced manic symptom severity was observed for low-risk individuals (mean [SE] difference, -1.4 [0.4]; P = .001) but not for high-risk individuals (mean [SE] difference, 0 [0.3]; P = .95). The smartphone-based self-management intervention decreased depressive symptom severity (mean [SE] difference, -0.80 [0.34]; P = .02) and improved relational quality of life (mean [SE] difference, 1.03 [0.45]; P = .02) but did not decrease percentage-time symptomatic (mean [SE] difference, -5.6 [4.3]; P = .20).

Conclusions and Relevance

This randomized clinical trial of a smartphone-based self-management intervention did not detect a significant improvement in the primary outcome of time to relapse. However, a significant decrease in relapse risk was observed for individuals in asymptomatic recovery. In addition, the intervention decreased depressive symptom severity and improved relational quality of life. These findings warrant further work to optimize the smartphone intervention and confirm that the intervention decreases relapse risk for individuals in asymptomatic recovery.

Trial Registration

ClinicalTrials.gov Identifier: NCT03088462.

Threshold evaluation for optimal number of endoscopic treatment sessions to achieve complete eradication of Barrett's metaplasia

BACKGROUND

Endoscopic eradication therapy (EET) is the standard of care for Barrett's esophagus (BE)-associated neoplasia. Previous data suggest the mean number of EET sessions required to achieve complete eradication of intestinal metaplasia (CE-IM) is 3. This study aimed to define the threshold of EET sessions required to achieve CE-IM.

METHODS

The TREAT-BE Consortium is a multicenter outcomes cohort including prospectively enrolled patients with BE undergoing EET. All patients achieving CE-IM were included. Demographic, endoscopic, and histologic data were recorded at treatment onset along with treatment details and surveillance data. Kaplan-Meier analysis was performed to define a threshold of EET sessions, with 95 %CI, required to achieve CE-IM. A secondary analysis examined predictors of incomplete response to EET using multiple logistic regression and recurrence rates.

RESULTS

623 patients (mean age 65.2 [SD 11.6], 79.6 % male, 86.5 % Caucasian) achieved CE-IM in a mean of 2.9 (SD 1.7) EET sessions (median 2) and a median total observation period of 2.7 years (interquartile range 1.4-5.0). After three sessions, 73 % of patients achieved CE-IM (95 %CI 70 %-77 %). Age (odds ratio [OR] 1.25, 95 %CI 1.05-1.50) and length of BE (OR 1.24, 95 %CI 1.17-1.31) were significant predictors of incomplete response.

CONCLUSION

The current study found that a threshold of three EET sessions would achieve CE-IM in the majority of patients. Alternative therapies and further diagnostic testing should be considered for patients who do not have significant response to EET after three sessions.

Prevalence and risk factors of sleep disturbance in adults with underlying health conditions during the ongoing COVID-19 pandemic

To determine the prevalence of sleep disturbance during the coronavirus disease 2019 (COVID-19) pandemic among US adults who are more vulnerable to complications because of age and co-morbid conditions, and to identify associated sociodemographic and psychosocial factors. Cross-sectional survey linked to 3 active clinical trials and 2 cohort studies, conducted between 11/30/2020 and 3/3/2021. Five academic internal medicine practices and 2 federally qualified health centers. A total of 715 adults ages 23 to 91 years living with one or more chronic conditions. A fifth (20%) of participants reported poor sleep. Black adults were twice as likely to report poor sleep compared to Whites. Self-reported poor physical function (51%), stress (42%), depression (28%), and anxiety (36%) were also common and all significantly associated with poor sleep. Age ≥70 years and having been vaccinated for COVID-19 were protective against poor sleep. Sex, education, income, alcohol use, and employment status were not significantly associated with sleep quality. In this diverse sample of adults with chronic conditions, by race, ethnicity, and socioeconomic status, disparities in sleep health amid the ongoing pandemic were apparent. Worse physical function and mental health were associated with poor sleep and should be considered targets for health system interventions to prevent the many subsequent consequences of disturbed sleep on health outcomes. Measurements: self-reported sleep quality, physical function, stress, depression, and anxiety.

Trajectories of perceived susceptibility to COVID-19 over a year: The COVID-19 & chronic conditions (C3) cohort study

The U.S. public health response to coronavirus disease 2019 (COVID-19) has been widely criticized as having downplayed the potential implications COVID-19 could have on one's personal health. Despite the unprecedented threat of COVID-19, many individuals still believed that it was not at all likely that they would become infected. We sought to investigate trends in adults' perceived susceptibility to COVID-19 over the first year of the pandemic, whether distinct trajectories emerged, and if these trajectories differed by participant socio-demographic characteristics.This was a longitudinal cohort study with 5 time points of data collection (March 13, 2020-March 3, 2021). Subjects included 627 adults living with ≥1 chronic conditions, who completed a baseline interview and at least one follow-up interview. In addition to collecting relevant socio-demographic characteristics, participants' perceived susceptibility to COVID-19 across time was assessed and classified into distinct trajectories.Nearly two-thirds (62.2%) of participants perceived themselves to be highly susceptible to COVID-19 from the onset of the pandemic ("early responders") and sustained this over a year, a third (29.0%) eventually perceived themselves to be highly susceptible ("late responders"), and 8.8% maintained a low likelihood of susceptibility throughout the pandemic ("non-responders"). In multivariable analyses, compared to White participants, Latinx participants were significantly more likely to be non-responders and report low likelihood of perceived susceptibility (Risk Ratio [RR]: 3.46; 95% confidence interval: 1.19, 10.1), as were Black participants (RR: 5.49; 95% confidence interval: 2.19, 13.8).A year into the COVID-19 pandemic, 1 out of 11 participants persistently did not think they might be susceptible and potentially infected. Future studies are needed to understand reasons why certain individuals, particularly those of racial/ethnic minorities, did not perceive themselves at risk for infection.

A Smartphone-Based Self-management Intervention for Individuals With Bipolar Disorder (LiveWell): Empirical and Theoretical Framework, Intervention Design, and Study Protocol for a Randomized Controlled Trial

Background

Bipolar disorder is a severe mental illness with high morbidity and mortality rates. Even with pharmacological treatment, frequent recurrence of episodes, long episode durations, and persistent interepisode symptoms are common and disruptive. Combining psychotherapy with pharmacotherapy improves outcomes; however, many individuals with bipolar disorder do not receive psychotherapy. Mental health technologies can increase access to self-management strategies derived from empirically supported bipolar disorder psychotherapies while also enhancing treatment by delivering real-time assessments, personalized feedback, and provider alerts. In addition, mental health technologies provide a platform for self-report, app use, and behavioral data collection to advance understanding of the longitudinal course of bipolar disorder, which can then be used to support ongoing improvement of treatment.

Objective

A description of the theoretical and empirically supported framework, design, and protocol for a randomized controlled trial (RCT) of LiveWell, a smartphone-based self-management intervention for individuals with bipolar disorder, is provided to facilitate the ability to replicate, improve, implement, and disseminate effective interventions for bipolar disorder. The goal of the trial is to determine the effectiveness of LiveWell for reducing relapse risk and symptom burden as well as improving quality of life (QOL) while simultaneously clarifying behavioral targets involved in staying well and better characterizing the course of bipolar disorder and treatment response.

Methods

The study is a single-blind RCT (n=205; 2:3 ratio of usual care vs usual care plus LiveWell). The primary outcome is the time to relapse. Secondary outcomes are percentage time symptomatic, symptom severity, and QOL. Longitudinal changes in target behaviors proposed to mediate the primary and secondary outcomes will also be determined, and their relationships with the outcomes will be assessed. A database of clinical status, symptom severity, real-time self-report, behavioral sensor, app use, and personalized content will be created to better predict treatment response and relapse risk.

Results

Recruitment and screening began in March 2017 and ended in April 2019. Follow-up ended in April 2020. The results of this study are expected to be published in 2022.

Conclusions

This study will examine whether LiveWell reduces relapse risk and symptom burden and improves QOL for individuals with bipolar disorder by increasing access to empirically supported self-management strategies. The role of selected target behaviors (medication adherence, sleep duration, routine, and management of signs and symptoms) in these outcomes will also be examined. Simultaneously, a database will be created to initiate the development of algorithms to personalize and improve treatment for bipolar disorder. In addition, we hope that this description of the theoretical and empirically supported framework, intervention design, and study protocol for the RCT of LiveWell will facilitate the ability to replicate, improve, implement, and disseminate effective interventions for bipolar and other mental health disorders.

Trial Registration

ClinicalTrials.gov NCT03088462; https://www.clinicaltrials.gov/ct2/show/NCT03088462

International Registered Report Identifier (IRRID)

DERR1-10.2196/30710

The effect of depression and anxiety symptom severity on clinical outcomes and app use in digital mental health treatments: Meta-regression of three trials

A large number of trials have consistently shown that guided digital mental health treatments (DMHTs) are effective for depression and anxiety. As DMHTs are adopted by healthcare organizations, payers, and employers, they are often considered most appropriate for people with mild-to-moderate levels of symptom severity. Thus, the aim of this study was to examine the effects of symptom severity on depression and anxiety outcomes and app use across three trials of a guided DMHT, IntelliCare. Participants were categorized into mild, moderate, moderately severe, and severe symptom severity groups on depression and anxiety. All symptom severity groups showed significant reductions in depression and anxiety in a clear ordinal pattern, with the mild symptom severity group showing the smallest changes and the severe symptom group showing the largest improvements. Those with the lowest levels of educational attainment showed the largest symptom improvement. Baseline symptom severity was not significantly related to app use. App use was significantly related to depression and anxiety outcomes. These findings suggest that depression and anxiety symptom severity is not useful in determining who should be referred to a guided DMHT.

Targeting subjective engagement in experimental therapeutics for digital mental health interventions

Engagement is a multifaceted construct and a likely mechanism by which digital interventions achieve clinical improvements. To date, clinical research on digital mental health interventions (DMHIs) has overwhelmingly defined engagement and assessed its association with clinical outcomes through the objective/behavioral metrics of use of or interactions with a DMHI, such as number of log-ins or time spent using the technology. However, engagement also entails users' subjective experience. Research is largely lacking that tests the relationship between subjective metrics of engagement and clinical outcomes. The purpose of this study is to present a proof-of-concept exploratory evaluation of the association between subjective engagement measures of a mobile DMHI with changes in depression and anxiety. Adult primary care patients (N = 146) who screened positive for depression or anxiety were randomized to receive a DMHI, IntelliCare, immediately or following an 8-week waitlist. Subjective engagement was measured via the Usefulness, Satisfaction, and Ease of Use (USE) Questionnaire. Across both conditions, results showed that individuals who perceived a mobile intervention as more useful, easy to use and learn, and satisfying had greater improvements in depression and anxiety over eight weeks. Findings support our proposed experimental therapeutics framework that hypothesizes objective/behavioral and subjective engagement metrics as mechanisms that lead to changes in clinical outcomes, as well as support directing intervention design efforts for DMHIs to target the user experience.

Perceived Adequacy of Tangible Support during Stay-at-Home Orders in Chicago and New York

Objectives:

Physical distancing precautions during the COVID-19 pandemic may challenge the provision of tangible support many middle age and older adults receive in managing their health. We examined the association between unmet tangible support needs and self-management behaviors and mental health status during the stay-at-home orders in Chicago and New York.

Methods:

We used data from the COVID-19 & Chronic Conditions study collected between May 1st and May 22nd, 2020. A total of 801 middle age and older adults with ≥1 chronic condition in Chicago and New York City completed the telephone interview. Adequacy of tangible social support was measured using a brief, validated scale that determined whether an individual needed assistance managing his or her health, and if yes, whether this need was met. Participants reported their level of difficulty engaging in self-management behaviors using 2 discrete items; they also self-reported medication adherence using the ASK-12 medication adherence scale. Mental health status was measured using the depression and anxiety PROMIS short-form instruments.

Results:

Participants’ mean age was 63 years; 30% identified as Black, 26% identified as Latino, and 12% identified unmet support needs. Inadequacy of tangible support was associated with greater difficulty managing one’s health and accessing medications due to COVID-19, as well as poorer medication adherence, increased anxiety and depressive symptoms, and poorer overall well-being (P’s < .05).

Conclusions:

Perceived unmet support needs during stay-at-home orders were associated with greater difficulty engaging in self-management behaviors and poorer overall well-being. Two brief items quickly identified individuals with unmet support needs.

Clinical Features Observed in General Practice Associated With the Subsequent Diagnosis of Progressive Supranuclear Palsy

Background: Progressive supranuclear palsy (PSP) is a rare neurodegenerative disorder that is difficult for primary care physicians to recognize due to its progressive nature and similarities to other neurologic disorders. This case-control study aimed to identify clinical features observed in general practice associated with a subsequent diagnosis of PSP.

Methods: We analyzed a de-identified dataset of 152 PSP cases and 3,122 matched controls from electronic medical records of general practices in Germany. We used a random forests algorithm based on machine learning techniques to identify clinical features (medical conditions and treatments received) associated with pre-diagnostic PSP without using an a priori hypothesis. We then assessed the relative effects of the features with the highest importance scores and generated multivariate models using clustered logistic regression analyses to identify a subset of clinical features associated with subsequent PSP diagnosis.

Results: Using the random forests approach, we identified 21 clinical features associated with pre-diagnostic PSP (odds ratio ≥2.0 in univariate analyses). From these, we constructed a multivariate model comprising 9 clinical features with ~90% likelihood of identifying a subsequent PSP diagnosis. These features included known PSP symptoms, common misdiagnoses, and 2 novel associations, diabetes mellitus and cerebrovascular disease, which are possible modifiable risk factors for PSP.

Conclusion: In this case-control study using data from electronic medical records, we identified 9 clinical features, including 2 previously unknown factors, associated with the pre-diagnostic stage of PSP. These may be used to facilitate recognition of PSP and reduce time to referral by primary care physicians.

Change in Health Literacy over a Decade in a Prospective Cohort of Community-Dwelling Older Adults

BACKGROUND

Health literacy is often viewed as a static trait in longitudinal studies, which may over or underestimate an individual's ability to manage one's health.

OBJECTIVES

We sought to examine health literacy over time among older adults using three widely used measures.

DESIGN

A prospective cohort study.

PARTICIPANTS

Community-dwelling adults ages 55 to 74 at baseline with at least one follow-up visit (N = 656) recruited from one academic internal medicine clinic and six community health centers in Chicago, IL.

MEASURES

Health literacy was measured using the Test of Functional Health Literacy in Adults (TOFHLA), Newest Vital Sign (NVS), and Rapid Estimate of Adult Literacy in Medicine (REALM) at baseline and up to three follow-up time points.

RESULTS

In unadjusted analyses, significant changes since baseline were found beginning at the second follow-up (mean (M) = 6.0 years, SD = 0.6) for the TOFHLA (M = - 0.9, SD = 0.95, p = 0.049) and the REALM (M = 0.3, SD = 2.5, p = 0.004) and at the last follow-up (M = 8.6 years, SD = 0.5) for the NVS (M = - 0.2, SD = 1.4, p = 0.02). There were non-linear effects of baseline age on TOFHLA and NVS scores over time (piecewise cubic spline p = 0.01 and p < 0.001, respectively) and no effect on REALM scores (B = 0.02, 95% CI - 0.01 to 0.04, p = 0.17) using multivariable mixed-effects linear regression models, controlling for race, education, income, and comorbidity.

CONCLUSION

We found a negative relationship between age and health literacy over time as measured by the TOFHLA and NVS. Health literacy barriers appear to be more prevalent among individuals in later life, when self-care demands are similarly increasing. Clinicians might consider strategies to assess and respond to limited health literacy, particularly among patients 70 and older. REALM performance remained stable over 10 years of follow-up. This questions whether health literacy tools measure the same attribute. Prospective health literacy studies should carefully consider what measures to use, depending on their objective.

An Exploratory Brief Head-To-Head Non-Inferiority Comparison of an Internet-Based and a Telephone-Delivered CBT Intervention for Adults with Depression

BACKGROUND

Telephone-administered psychotherapy (tCBT) and internet-based treatments (iCBT) may overcome barriers to mental health treatment. TCBT has demonstrated efficacy similar to traditional psychotherapy, however, few studies have compared iCBT to efficacious interventions. This exploratory study examined the noninferiority of iCBT relative to tCBT. We also explored pretreatment moderators of outcome and assessed treatment dropout.

METHODS

As a secondary exploratory analysis of a 304-participant randomized noninferiority trial, we compared iCBT, the first level of a stepped-care intervention, with tCBT on depression outcome after 5 weeks of treatment (prior to stepping). Multiple linear regression models were fit to examine moderators of 5-week depression. Differences in dropout were examined using Kaplan-Meier survival analysis.

RESULTS

After 5 weeks of treatment, both interventions significantly reduced depression severity. The effect size difference between the two interventions was d=0.004 [90% CI=-0.19 to 0.19]; the CI did not cross the non-inferiority margin. Pretreatment depression was significantly associated with depression at week 5. The relationship between cognitive strategy usefulness and depression at week 5 differed between interventions, controlling for pretreatment depression. There was no significant difference in dropout between interventions.

LIMITATIONS

Given the stepped-care trial design, iCBT and tCBT could not be compared at the end of treatment or follow-up. Analyses were exploratory and should be interpreted with caution.

CONCLUSIONS

A large sample, powered for noninferiority, found iCBT no less efficacious than tCBT at reducing depression symptoms after five weeks of treatment.

The Hydrogel Endovascular Aneurysm Treatment Trial (HEAT): A Randomized Controlled Trial of the Second-Generation Hydrogel Coil

BACKGROUND

Aneurysm recurrence after coiling has been associated with aneurysm growth, (re)hemorrhage, and a greater need for follow-up. The second-generation HydroCoil Embolic System (HES; MicroVention, Inc) consists of a platinum core with integrated hydrogel and was developed to reduce recurrence through enhancing packing density and healing within the aneurysm.

OBJECTIVE

To compare recurrence between the second-generation HES and bare platinum coil (BPC) in the new-generation Hydrogel Endovascular Aneurysm Treatment Trial (HEAT).

METHODS

HEAT is a randomized, controlled trial that enrolled subjects with ruptured or unruptured 3- to 14-mm intracranial aneurysms amenable to coiling. The primary endpoint was aneurysm recurrence using the Raymond-Roy scale. Secondary endpoints included minor and major recurrence, packing density, adverse events related to the procedure and/or device, mortality, initial complete occlusion, aneurysm retreatment, hemorrhage from target aneurysm during follow-up, aneurysm occlusion stability, and clinical outcome at final follow-up.

RESULTS

A total of 600 patients were randomized (HES, n = 297 and BPC, n = 303), including 28% with ruptured aneurysms. Recurrence occurred in 11 (4.4%) subjects in the HES arm and 44 (15.4%) subjects in the BPC arm (P = .002). While the initial occlusion rate was higher with BPC, the packing density and both major and minor recurrence rates were in favor of HES. Secondary endpoints including adverse events, retreatment, hemorrhage, mortality, and clinical outcome did not differ between arms.

CONCLUSION

Coiling of small-to-medium aneurysms with second-generation HES resulted in less recurrence when compared to BPC, without increased harm. These data further support the use of the second-generation HES for the embolization of intracranial aneurysms.

VIDEO ABSTRACT

Coached Mobile App Platform for the Treatment of Depression and Anxiety Among Primary Care Patients: A Randomized Clinical Trial

Importance

Depression and anxiety are common and disabling. Primary care is the de facto site for treating these mental health problems but is typically underresourced to meet the burden of these demands.

Objective

To evaluate the efficacy of a mobile intervention platform, IntelliCare, for addressing depression and anxiety among primary care patients.

Design, Setting, and Participants

Two-arm randomized clinical trial at internal medicine clinics at the University of Arkansas for Medical Sciences. Adult primary care patients (N = 146) who screened positive for depression on the Patient Health Questionnaire-8 (PHQ; score  ≥ 10) or anxiety on the Generalized Anxiety Disorder-7 (GAD-7; score ≥ 8) were recruited between July 17, 2018, and December 14, 2018.

Interventions

The coach-supported platform composed of a suite of apps, was delivered over 8 weeks. Wait list control participants received treatment as usual for 8 weeks, then the mobile platform.

Main Outcomes and Measures

Primary outcomes were changes in depression (PHQ-9) and anxiety (GAD-7) during the intervention period. Secondary outcomes were differences in the proportion of patients who achieved recovery (PHQ-9/GAD-7 <5 or 50% improvement from baseline), sustainment of intervention effects during 2-month follow-up, and app use during the intervention period.

Results

One hundred forty-six patients were included (119 of 146 were women [81.5%]; mean [SD] age, 42.3 [13.8] years). Of the 146 patients, 122 (83.6%) were diagnosed as having depression and 131 (89.7%) were diagnosed as having anxiety. A greater proportion of intervention vs wait list control participants achieved recovery from depression (n = 38 of 64 [59%] vs n = 18 of 58 [31%]; odds ratio, 3.25; 95% CI, 1.54-6.86) and anxiety (n = 37 of 65 [57%] vs n = 25 of 66 [38%]; odds ratio, 2.17; 95% CI, 1.08-4.36). Sustained effects were observed for depression (slope, 0.01; 95% CI, -0.09 to 0.10; P = .92) and anxiety scores (slope, 0.02; 95% CI, -0.08 to 0.12; P = .67) during follow-up. App use was high, with a median of 93 and 98 sessions among participants with depression and anxiety, respectively.

Conclusions and Relevance

In this trial, a mobile intervention app was effective for depression and anxiety among primary care patients. Findings also support designing digital mental health interventions as platforms containing simple, brief apps that can be bundled by users to meet their needs.

Trial Registration

ClinicalTrials.gov Identifier: NCT03500536.

Clinically Meaningful Use of Mental Health Apps and its Effects on Depression: Mixed Methods Study

Background

User engagement is key to the effectiveness of digital mental health interventions. Considerable research has examined the clinical outcomes of overall engagement with mental health apps (eg, frequency and duration of app use). However, few studies have examined how specific app use behaviors can drive change in outcomes. Understanding the clinical outcomes of more nuanced app use could inform the design of mental health apps that are more clinically effective to users.

Objective

This study aimed to classify user behaviors in a suite of mental health apps and examine how different types of app use are related to depression and anxiety outcomes. We also compare the clinical outcomes of specific types of app use with those of generic app use (ie, intensity and duration of app use) to understand what aspects of app use may drive symptom improvement.

Methods

We conducted a secondary analysis of system use data from an 8-week randomized trial of a suite of 13 mental health apps. We categorized app use behaviors through a mixed methods analysis combining qualitative content analysis and principal component analysis. Regression analyses were used to assess the association between app use and levels of depression and anxiety at the end of treatment.

Results

A total of 3 distinct clusters of app use behaviors were identified: learning, goal setting, and self-tracking. Each specific behavior had varied effects on outcomes. Participants who engaged in self-tracking experienced reduced depression symptoms, and those who engaged with learning and goal setting at a moderate level (ie, not too much or not too little) also had an improvement in depression. Notably, the combination of these 3 types of behaviors, what we termed “clinically meaningful use,” accounted for roughly the same amount of variance as explained by the overall intensity of app use (ie, total number of app use sessions). This suggests that our categorization of app use behaviors succeeded in capturing app use associated with better outcomes. However, anxiety outcomes were neither associated with specific behaviors nor generic app use.

Conclusions

This study presents the first granular examination of user interactions with mental health apps and their effects on mental health outcomes. It has important implications for the design of mobile health interventions that aim to achieve greater user engagement and improved clinical efficacy.

Motor vehicle crash reconstruction: Does it relate to the heterogeneity of whiplash recovery?

Whiplash injury is a common consequence of motor vehicle crashes (MVC), yet it is also one of the most poorly understood. While more than 50% of those injured should expect to rapidly recover, others are not as fortunate with approximately 25% of those exposed to and injured in an MVC transitioning from acute to chronic pain and disability. The purpose of this prospective study was to determine if the severity and direction of collisions involving participants enrolled in a longitudinal study of recovery from whiplash are able to differentiate between different recovery groups based on the neck disability index (NDI) percentage scores at 3-months, and if these crash specific parameters are associated with known risk factors for recovery. Here, we examined objective collision data, repair invoices, and characteristics of the crash for 37 acutely injured participants consented and enrolled at their emergency department visit and further assessed at three time points; < 1 week, 2-weeks, and 3-months post MVC. Collision data were used to reconstruct and estimate the severity of the crash and determine if they aligned with the heterogeneity of whiplash injury recovery. Wilcoxon rank sum tests were used to determine if % scores on the Neck Disability Index (NDI) at 3-months post MVC were associated with the following variables: sex, head turned at time of impact, seatbelt use, whether or not airbags deployed, if the vehicle was struck while stopped or while turning, or the principle direction of force (PDOF). Spearman’s correlation coefficients were used to determine if NDI at 3-months post MVC was associated with age, Body Mass Index, pain-related disability at baseline, signs of post-traumatic distress, intrusion/hyperarousal, negative affect, pain intensity, estimated speed change from the impact, and damage estimates (in US$). There was a significant positive association between self-reported neck disability at 3-months post MVC, post-traumatic distress, negative affect and uncontrolled pain. There was no direct effect of participant characteristics, arousal, intrusion/hyperarousal sub-score, damage, PDOF, speed change, or other crash characteristics. Established crash parameters were not associated with the heterogeneity of whiplash injury recovery in a small sample of injured participants.

A randomized noninferiority trial evaluating remotely-delivered stepped care for depression using internet cognitive behavioral therapy (CBT) and telephone CBT

This trial examined whether a stepped care program for depression, which initiated treatment with internet cognitive behavioral therapy, including telephone and messaging support, and stepped up non-responders to telephone-administered cognitive behavioral therapy (tCBT), was noninferior, less costly to deliver, and as acceptable to patients compared to tCBT alone. Adults with a diagnosis of major depressive episode (MDE) were randomized to receive up to 20 weeks of stepped care or tCBT. Stepped care (n = 134) was noninferior to tCBT (n = 136) with an end-of-treatment effect size of d = 0.03 and a 6-month post-treatment effect size of d = -0.07 [90% CI 0.29 to 0.14]. Therapist time in stepped care was 5.26 (SD = 3.08) hours versus 10.16 (SD 4.01) for tCBT (p < 0.0001), with a delivery cost difference of $-364.32 [95% CI $-423.68 to $-304.96]. There was no significant difference in pre-treatment preferences (p = 0.10) or treatment dropout (39 in stepped care; 27 in tCBT; p = 0.14). tCBT patients were significantly more satisfied than stepped care patients with the treatment they received (p < 0.0001). These findings indicate that stepped care was less costly to deliver, but no less effective than tCBT. There was no significant difference in treatment preference or completion, however satisfaction with treatment was higher in tCBT than stepped care. TRIAL REGISTRATION: clinicaltrials.gov Identifier: NCT01906476.

Stepping Up: Predictors of 'Stepping' within an iCBT Stepped-Care Intervention for Depression

Internet-based cognitive behavioral therapy (iCBT) may overcome barriers to mental health care and has proven efficacious. However, this approach currently exists outside the existing mental health care delivery system. Stepped care is a proposed framework for integrating digital mental health (DMH) into health systems by initiating iCBT and "stepping up" care to a more intensive intervention should iCBT prove ineffective. This study explores pre-treatment factors associated with reaching stepping criteria among patients receiving iCBT. This exploratory analysis of a stepped care arm of a larger randomized trial examined participants who were stepped to a more intensive intervention if they did not respond to iCBT. The association of pre-treatment factors on stepping were examined using Kruskal-Wallis and Chi-square tests. One-fifth of the 151 participants met criteria for stepping within the 20-week treatment period. Only pre-treatment depression severity and treatment preference were associated with increased likelihood of stepping (p = 0.049 and 0.048, respectively). The low number of individuals who stepped provides support for iCBT as an effective, low intensity treatment for depression. The modest association of pre-treatment depression and preference to not receive iCBT may be useful in identifying patients who are less likely to respond.

Daily Routine: Associations With Health Status and Urgent Health Care Utilization Among Older Adults

BACKGROUND AND OBJECTIVES

Chronically ill older adults must integrate self-care behaviors into their daily routine to promote health and reduce urgent health care utilization. Individuals of lower socioeconomic position (SEP) experience a disproportionate burden of stressors that challenge the formation of regular routines. We examined associations between the presence of a daily routine and older adults' health status and urgent health care utilization, to determine whether higher levels of daily routine mediates associations between SEP and health outcomes.

RESEARCH DESIGN AND METHODS

We used data from a cohort of older adult primary care patients in Chicago. Daily routine was measured using a brief, validated scale. A single factor score of SEP was created with measures of education, income, homeownership, and insurance status. Health status was assessed by Patient Reported Outcomes Measurement Information Service physical function, depression, and anxiety. Urgent health care utilization was patient reported. Multivariable models were used to assess the effect of routine and SEP on health status and urgent health care utilization.

RESULTS

Individuals reporting low levels of daily routine reported worse physical function (β = -2.34; 95% CI -4.18, -0.50), more anxiety (β = 2.73; 95% CI 0.68, 4.78) and depressive symptoms (β = 2.83; 95% CI 0.94, 4.74) than those with greater daily routine. No differences in urgent health care utilization were observed by daily routine. Daily routine varied by SEP (p < .001); routine partially mediated the relationship between SEP and physical function and anxiety symptoms (ps < .05).

DISCUSSION AND IMPLICATIONS

A daily routine may be an under recognized modifiable factor that could promote health outcomes among older adults.

Comparison of the Effects of Coaching and Receipt of App Recommendations on Depression, Anxiety, and Engagement in the IntelliCare Platform: Factorial Randomized Controlled Trial

BACKGROUND

IntelliCare is a modular platform that includes 12 simple apps targeting specific psychological strategies for common mental health problems.

OBJECTIVE

This study aimed to examine the effect of 2 methods of maintaining engagement with the IntelliCare platform, coaching, and receipt of weekly recommendations to try different apps on depression, anxiety, and app use.

METHODS

A total of 301 participants with depression or anxiety were randomized to 1 of 4 treatments lasting 8 weeks and were followed for 6 months posttreatment. The trial used a 2X2 factorial design (coached vs self-guided treatment and weekly app recommendations vs no recommendations) to compare engagement metrics.

RESULTS

The median time to last use of any app during treatment was 56 days (interquartile range 54-57), with 253 participants (84.0%, 253/301) continuing to use the apps over a median of 92 days posttreatment. Receipt of weekly recommendations resulted in a significantly higher number of app use sessions during treatment (overall median=216; P=.04) but only marginal effects for time to last use (P=.06) and number of app downloads (P=.08). Coaching resulted in significantly more app downloads (P<.001), but there were no significant effects for time to last download or number of app sessions (P=.36) or time to last download (P=.08). Participants showed significant reductions in the Patient Health Questionnaire-9 (PHQ-9) and Generalized Anxiety Disorder-7 (GAD-7) across all treatment arms (P s<.001). Coached treatment led to larger GAD-7 reductions than those observed for self-guided treatment (P=.03), but the effects for the PHQ-9 did not reach significance (P=.06). Significant interaction was observed between receiving recommendations and time for the PHQ-9 (P=.04), but there were no significant effects for GAD-7 (P=.58).

CONCLUSIONS

IntelliCare produced strong engagement with apps across all treatment arms. Coaching was associated with stronger anxiety outcomes, and receipt of recommendations enhanced depression outcomes.

TRIAL REGISTRATION

ClinicalTrials.gov NCT02801877; https://clinicaltrials.gov/ct2/show/NCT02801877.

Rationale and design of the regimen education and messaging in diabetes (REMinD) trial

BACKGROUND

Individuals with type 2 diabetes manage complex multi-drug regimens, but nearly half of all patients do not consistently take the dose prescribed for them, and therefore may not receive the full potential therapeutic benefit. Both patient and health system factors contribute to achieving and maintaining medication adherence. To determine if patients with type 2 diabetes who are concurrently managing other chronic conditions could improve their adherence, we devised and are testing a multifaceted, primary care-based strategy to provide health literacy-appropriate and language concordant regimen information, guidance and reminders.

OBJECTIVE

We are testing the effectiveness of an electronic health record (EHR) based strategy and short message service (SMS) text reminders to help patients with type 2 diabetes adhere to their medications.

METHODS

We are conducting a 3-arm, multi-site trial to test and compare the effectiveness of the EHR, and EHR + SMS text reminder strategies compared to usual care on medication adherence. Our goal is to enroll a total of 900 English or Spanish-speaking patients with type 2 diabetes and hemoglobin A1C value ≥7.5%. Enrolled participants will complete interviews at baseline and 3 and 6 months following their baseline interview.

CONCLUSIONS

Our trial is evaluating practical, clinic-based, scalable, evidence-based solutions for patients with type 2 diabetes managing complex medication regimens. Our findings will evaluate strategies that can be implemented broadly in primary care practices, and programmed as defaults within EHRs to support appropriate medication adherence to allow the widespread implementation of those strategies.

The Role of Data Type and Recipient in Individuals' Perspectives on Sharing Passively Collected Smartphone Data for Mental Health: Cross-Sectional Questionnaire Study

Background

The growing field of personal sensing harnesses sensor data collected from individuals’ smartphones to understand their behaviors and experiences. Such data could be a powerful tool within mental health care. However, it is important to note that the nature of these data differs from the information usually available to, or discussed with, health care professionals. To design digital mental health tools that are acceptable to users, understanding how personal sensing data can be used and shared is critical.

Objective

This study aimed to investigate individuals’ perspectives about sharing different types of sensor data beyond the research context, specifically with doctors, electronic health record (EHR) systems, and family members.

Methods

A questionnaire assessed participants’ comfort with sharing six types of sensed data: physical activity, mood, sleep, communication logs, location, and social activity. Participants were asked about their comfort with sharing these data with three different recipients: doctors, EHR systems, and family members. A series of principal component analyses (one for each data recipient) was performed to identify clusters of sensor data types according to participants’ comfort with sharing them. Relationships between recipients and sensor clusters were then explored using generalized estimating equation logistic regression models.

Results

A total of 211 participants completed the questionnaire. The majority were female (171/211, 81.0%), and the mean age was 38 years (SD 10.32). Principal component analyses consistently identified two clusters of sensed data across the three data recipients: “health information,” including sleep, mood, and physical activity, and “personal data,” including communication logs, location, and social activity. Overall, participants were significantly more comfortable sharing any type of sensed data with their doctor than with the EHR system or family members (P<.001) and more comfortable sharing “health information” than “personal data” (P<.001). Participant characteristics such as age or presence of depression or anxiety did not influence participants’ comfort with sharing sensed data.

Conclusions

The comfort level in sharing sensed data was dependent on both data type and recipient, but not individual characteristics. Given the identified differences in comfort with sensed data sharing, contextual factors of data type and recipient appear to be critically important as we design systems that harness sensor data for mental health treatment and support.

Exploring the Use of Multiple Mental Health Apps Within a Platform: Secondary Analysis of the IntelliCare Field Trial

BACKGROUND

IntelliCare is a mental health app platform with 14 apps that are elemental, simple and brief to use, and eclectic. Although a variety of apps may improve engagement, leading to better outcomes, they may require navigation aids such as recommender systems that can quickly direct a person to a useful app.

OBJECTIVE

As the first step toward developing navigation and recommender tools, this study explored app-use patterns across the IntelliCare platform and their relationship with depression and anxiety outcomes.

METHODS

This is a secondary analysis of the IntelliCare Field Trial, which recruited people with depression or anxiety. Participants of the trial received 8 weeks of coaching, primarily by text, and weekly random recommendations for apps. App-use metrics included frequency and lifetime use. Depression and anxiety, measured using the Patient Health Questionnaire-9 and Generalized Anxiety Disorder-7, respectively, were assessed at baseline and end of treatment. Cluster analysis was utilized to determine patterns of app use; ordinal logistic regression models and log-rank tests were used to determine if these use metrics alone, or in combination, predicted improvement or remission in depression or anxiety.

RESULTS

The analysis included 96 people who generally followed recommendations to download and try new apps each week. Apps were clustered into 5 groups: Thinking (apps that targeted or relied on thinking), Calming (relaxation and insomnia), Checklists (apps that used checklists), Activity (behavioral activation and activity), and Other. Both overall frequency of use and lifetime use predicted response for depression and anxiety. The Thinking, Calming, and Checklist clusters were associated with improvement in depression and anxiety, and the Activity cluster was associated with improvement in Anxiety only. However, the use of clusters was less strongly associated with improvement than individual app use.

CONCLUSIONS

Participants in the field trial remained engaged with a suite of apps for the full 8 weeks of the trial. App-use patterns did fall into clusters, suggesting that some knowledge about the use of one app may be useful in selecting another app that the person is more likely to use and may help suggest apps based on baseline symptomology and personal preference.

Time-to-Surgery for Definitive Fixation of Hip Fractures: A Look at Outcomes Based Upon Delay

The morbidity and mortality after hip fracture in the elderly are influenced by non-modifiable comorbidities. Time-to-surgery is a modifiable factor that may play a role in postoperative morbidity. This study investigates the outcomes and complications in the elderly hip fracture surgery as a function of time-to-surgery. Using the American College of Surgeons-National Surgical Quality Improvement Program data from 2011 to 2012, a study population was generated using the Current Procedural Terminology codes for percutaneous or open treatment of femoral neck fractures (27235, 27236) and fixation with a screw and side plate or intramedullary fixation (27244, 27245) for peritrochanteric fractures. Three time-to-surgery groups (<24 hours to surgical intervention, 24-48 hours, and >48 hours) were created and matched for surgery type, sex, age, and American Society of Anesthesiologists class. Time-to-surgery was then studied for its effect on the post-surgical outcomes using the adjusted regression modeling. A study population of 6036 hip fractures was created, and 2012 patients were assigned to each matched time-to-surgery group. The unadjusted models showed that the earlier surgical intervention groups (<24 hours and 24-48 hours) exhibited a lower overall complication rate (P = .034) compared with the group waiting for surgery >48 hours. The unadjusted mortality rates increased with delay to surgical intervention (P = .039). Time-to-surgery caused no effect on the return to the operating room rate (P = .554) nor readmission rate (P = .285). Compared with other time-to-surgeries, the time-to-surgery of >48 hours was associated with prolonged total hospital length of stay (10.9 days) (P < .001) and a longer surgery-to-discharge time (hazard ratio, 95% confidence interval: 0.74, 0.69-0.79) (P < .001). Adjusted analyses showed no time-to-surgery related difference in complications (P = .143) but presented an increase in the total length of stay (P < .001) and surgery-to-discharge time (P < .001). Timeliness of surgical intervention in a comorbidity-adjusted population of elderly hip fracture patients causes no effect on the overall complications, readmissions, nor 30-day mortality. However, time-to-surgery of >48 hours is associated with costly increase in the total length of stay, including an increased post-surgery-to-discharge time.

Behavioral and cognitive intervention strategies delivered via coached apps for depression: Pilot trial

Depression is common in primary care settings, but barriers prevent many primary care patients from initiating treatment. Smartphone apps stand as a possible means to overcome such barriers. However, there is limited evidence to understand the use and efficacy of these apps. The purpose of the current study was to pilot an evaluation of the usage and efficacy of apps for depression based upon behavioral or cognitive intervention skills, compared to a wait-list control. Thirty adults with depression were randomized to the use of either a behavioral app (Boost Me) or a cognitive app (Thought Challenger) or to a wait-list control. Boost Me and Thought Challenger participants received 6 weeks of the respective intervention along with weekly coaching sessions, with a 4-week follow-up period; wait-list control participants received no interventions for 10 weeks. A repeated-measures analysis of variance was conducted to examine depression over time and across treatment groups; t tests compared app usage across groups. Depression scores changed significantly over time (p < .001), with group differences occurring between Thought Challenger and wait-list control participants (p = .03). Boost Me was used significantly more than was Thought Challenger (p = .02); however, there was no evidence to suggest correlations between usage and changes in depression (ps > .05). The present study provides initial support that intervention strategies for depression delivered via apps with human support can impact symptoms and may promote continued use over 6 weeks. This pilot also demonstrates the feasibility of future research regarding the delivery of behavioral and cognitive intervention strategies via apps. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Rationale and development of a randomized pragmatic trial to improve diabetes outcomes in patient-centered medical homes serving rural patients

Proper diabetes self-care requires patients to have considerable knowledge, a range of skills, and to sustain multiple health behaviors. Self-management interventions are needed that can be readily implemented and sustained in rural clinics with limited resources that disproportionately care for patients with limited literacy. Researchers on our team developed an evidence-based, patient-centered, low literacy intervention promoting diabetes self-care that includes: 1) the American College of Physicians (ACP) Diabetes Guide that uses plain language and descriptive photographs to teach core diabetes concepts and empower patients to initiate behavior change; 2) a brief counseling strategy to assist patients in developing short-term, explicit and attainable goals for behavior change ('action plans'); and 3) a training module for health coaches that prepares them to assume educator/counselor roles with the Diabetes Guide as a teaching tool. While the intervention has previously been field tested and found to significantly improve patient knowledge, self-efficacy, and engagement in related health behaviors, its optimal implementation is not known. This project took advantage of a unique opportunity to modify and disseminate the ACP health literacy intervention among patients with type 2 diabetes cared for at rural clinics in Arkansas that are Patient-Centered Medical Homes (PCMH). These practices all had health coaches that could be leveraged to provide chronic disease self-management mostly via phone, but also at the point-of-care. Hence we conducted a patient-randomized, pragmatic clinical trial in 6 rural PCMHs in Arkansas, targeting individuals with uncontrolled type 2 diabetes.

Vitamin D Insufficiency and Fracture Risk in Urban Children

BACKGROUND

Investigation into the role of vitamin D in fractures in the pediatric population has been limited despite estimates that as many as 70% of American children have inadequate vitamin D levels (measured as 25-hydroxyvitamin D, 25(OH)D). The purpose of this study was to evaluate vitamin D's role in pediatric fracture risk by comparing 25(OH)D between fractured and nonfractured cohorts.

METHODS

A 12-month prospective case-control study was completed in children aged 2 to 14 years in an urban, academic hospital. Sixty fractured children requiring conscious sedation or general anesthesia for management were compared with 60 nonfractured controls. All participants and their guardians were surveyed for low bone density risk factors, and total serum 25(OH)D was measured. Statistical analysis was completed using Student t tests, χ tests, analysis of variance, and logistic regression models.

RESULTS

After controlling for age and daily sun exposure, lower total serum 25(OH)D was associated with higher fracture risk (odds ratio=0.94; 95% confidence interval, 0.90-0.99; P=0.023). In the fractured cohort, 6 (10%) patients were deficient (25(OH)D<20 ng/mL) and 33 (55%) were insufficient (25(OH)D, 20 to 30 ng/mL). Of the nonfractured population, 8 (13%) were deficient and 19 (32%) were insufficient. There were more insufficient patients in the fractured than in the nonfractured cohort (odds ratio=2.99; 95% confidence interval, 1.27-7.0; P=0.037).

CONCLUSIONS

Higher fracture incidence is associated with serum 25(OH)D insufficiency. Hypovitaminosis D may place the pediatric population at increased risk for fracture. Consideration should be given to routine assessment of vitamin D in fractured children.

LEVEL OF EVIDENCE

Prognostic level III-prospective case-control study.

Exploring User Learnability and Learning Performance in an App for Depression: Usability Study

BACKGROUND

Mental health apps tend to be narrow in their functioning, with their focus mostly being on tracking, management, or psychoeducation. It is unclear what capability such apps have to facilitate a change in users, particularly in terms of learning key constructs relating to behavioral interventions. Thought Challenger (CBITs, Chicago) is a skill-building app that engages users in cognitive restructuring, a core component of cognitive therapy (CT) for depression.

OBJECTIVE

The purpose of this study was to evaluate the learnability and learning performance of users following initial use of Thought Challenger.

METHODS

Twenty adults completed in-lab usability testing of Thought Challenger, which comprised two interactions with the app. Learnability was measured via completion times, error rates, and psychologist ratings of user entries in the app; learning performance was measured via a test of CT knowledge and skills. Nonparametric tests were conducted to evaluate the difference between individuals with no or mild depression to those with moderate to severe depression, as well as differences in completion times and pre- and posttests.

RESULTS

Across the two interactions, the majority of completion times were found to be acceptable (5 min or less), with minimal errors (1.2%, 10/840) and successful completion of CT thought records. Furthermore, CT knowledge and skills significantly improved after the initial use of Thought Challenger (P=.009).

CONCLUSIONS

The learning objectives for Thought Challenger during initial uses were successfully met in an evaluation with likely end users. The findings therefore suggest that apps are capable of providing users with opportunities for learning of intervention skills.

What might get in the way: Barriers to the use of apps for depression

Objective

Smartphones are being used with increasing frequency to deliver behavioral interventions for depression via apps. However, barriers specific to using an app for depression are poorly defined. The purpose of the current study is to identify barriers to the use of a mobile app to deliver treatment for depression. Secondarily, design implications will be provided based upon identified barriers.

Method

A card sorting task that ranked and grouped barriers to the use of apps for depression was completed. Participants first completed a card sorting task identifying barriers to face-to-face treatment, as a primer to identification of treatment barriers. The sample consisted of those above (n = 9) and below (n = 11) the threshold for a referral to psychotherapy, to capture anticipated barriers for likely end users. Cluster analyses were conducted to analyze the card sorting data. Multiple analyses were conducted to identify: 1) the most important barriers, and 2) how consistently barriers were ranked as important.

Result

The card sorting task identified a number of primary barriers to the use of apps for depression treatment, including concerns over intervention efficacy, app functioning, privacy, cost, and lack of guidance and tailored feedback. The top face-to-face treatment barrier was cost, overlapping with mobile barriers.

Conclusion

This study identified perceived barriers to the use of mobile treatment apps. Identification of barriers implicates design recommendations for apps for depression.

IntelliCare: An Eclectic, Skills-Based App Suite for the Treatment of Depression and Anxiety

Background

Digital mental health tools have tended to use psychoeducational strategies based on treatment orientations developed and validated outside of digital health. These features do not map well to the brief but frequent ways that people use mobile phones and mobile phone apps today. To address these challenges, we developed a suite of apps for depression and anxiety called IntelliCare, each developed with a focused goal and interactional style. IntelliCare apps prioritize interactive skills training over education and are designed for frequent but short interactions.

Objective

The overall objective of this study was to pilot a coach-assisted version of IntelliCare and evaluate its use and efficacy at reducing symptoms of depression and anxiety.

Methods

Participants, recruited through a health care system, Web-based and community advertising, and clinical research registries, were included in this single-arm trial if they had elevated symptoms of depression or anxiety. Participants had access to the 14 IntelliCare apps from Google Play and received 8 weeks of coaching on the use of IntelliCare. Coaching included an initial phone call plus 2 or more texts per week over the 8 weeks, with some participants receiving an additional brief phone call. Primary outcomes included the Patient Health Questionnaire-9 (PHQ-9) for depression and the Generalized Anxiety Disorder-7 (GAD-7) for anxiety. Participants were compensated up to US $90 for completing all assessments; compensation was not for app use or treatment engagement.

Results

Of the 99 participants who initiated treatment, 90.1% (90/99) completed 8 weeks. Participants showed substantial reductions in the PHQ-9 and GAD-7 (P<.001). Participants used the apps an average of 195.4 (SD 141) times over the 8 weeks. The average length of use was 1.1 (SD 2.1) minutes, and 95% of participants downloaded 5 or more of the IntelliCare apps.

Conclusions

This study supports the IntelliCare framework of providing a suite of skills-focused apps that can be used frequently and briefly to reduce symptoms of depression and anxiety. The IntelliCare system is elemental, allowing individual apps to be used or not used based on their effectiveness and utility, and it is eclectic, viewing treatment strategies as elements that can be applied as needed rather than adhering to a singular, overarching, theoretical model.

Trial Registration

Clinicaltrials.gov NCT02176226; http://clinicaltrials.gov/ct2/show/NCT02176226 (Archived by WebCite at http://www.webcitation/6mQZuBGk1)

Laughter is the best medicine: The Second City® improvisation as an intervention for Parkinson's disease

BACKGROUND

Expressive therapies are increasingly incorporated into the management of Parkinson's disease (PD), although there are little objective data assessing their benefits.

OBJECTIVE

Develop and study a novel community Improvisation Theater (IT) program for PD in order to improve quality of life.

METHODS

A prospective, rater-blinded, modified cross-over design study of IT for PD. 22 subjects were randomized 1:1 to active-start (AS) or control-start (CS) groups, controlling for age and Hoehn and Yahr stage. Participants were recruited from the Northwestern PD and Movement Disorders Center. 60 min IT sessions were led by The Second City^® faculty weekly for 12 weeks. The primary aim was to assess feasibility, determined as 70% of participants attending at least 75% of the classes. Exploratory data were obtained comparing pre- and post-intervention outcomes using Wilcoxon signed rank test for UPDRS parts I-IV, PDQ-39, and 5 neuro-QoL measures (communication, anxiety, stigma, depression, and wellbeing).

RESULTS

All 22 participants completed the study. 21/22 (95%) participants attended at least 80% of the classes. All participants indicated that they would recommend the class to others with PD. 21/22 participants enjoyed the class and felt it was beneficial for their symptoms. A significant improvement pre-to-post intervention was seen with the UPDRS part II ADL measure (mean -1.5, p = 0.019).

CONCLUSION

A novel improvisation program can be well-attended, enjoyable, and improve ADL measures among patients with PD of varying ages and disease severity.

The electronic medication complete communication (EMC2) study: Rationale and methods for a randomized controlled trial of a strategy to promote medication safety in ambulatory care

BACKGROUND

Adverse drug events (ADEs) affect millions of patients annually and place a significant burden on the healthcare system. The Food and Drug Administration (FDA) has developed patient safety information for high-risk medications that pose serious public health concerns. However, there are currently few assurances that patients receive this information or are able to identify or respond correctly to ADEs.

OBJECTIVE

To evaluate the effectiveness of the Electronic Medication Complete Communication (EMC²) Strategy to promote safe medication use and reporting of ADEs in comparison to usual care.

METHODS

The automated EMC² Strategy consists of: 1) provider alerts to counsel patients on medication risks, 2) the delivery of patient-friendly medication information via the electronic health record, and 3) an automated telephone assessment to identify potential medication concerns or ADEs. The study will take place in two community health centers in Chicago, IL. Adult, English or Spanish-speaking patients (N=1200) who have been prescribed a high-risk medication will be enrolled and randomized to the intervention arm or usual care based upon practice location. The primary outcomes of the study are medication knowledge, proper medication use, and reporting of ADEs; these will be measured at baseline, 4weeks, and three months. Intervention fidelity as well as barriers and costs of implementation will be evaluated.

CONCLUSIONS

The EMC² Strategy automates a patient-friendly risk communication and surveillance process to promote safe medication use while minimizing clinic burden. This trial seeks to evaluate the effectiveness and feasibility of this strategy in comparison to usual care.

Perioperative Outcomes Following Unilateral Versus Bilateral Total Knee Arthroplasty

Simultaneous bilateral total knee arthroplasty (SB-TKA) is potentially a cost saving manner of caring for patients with bilateral symptomatic knee arthritis. We performed a retrospective analysis using the 2010-2012 American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) to evaluate the risk of perioperative complication following SB-TKA. Demographic characteristics, comorbidities, and 30-day complication rates were studied using a propensity score-matched analysis comparing patients undergoing unilateral TKA and SB-TKA. A total of 4489 patients met the inclusion criteria, of which 973 were SB-TKA. SB-TKA was associated with increased overall complications (P = 0.023), medical complications (P = 0.002) and reoperation (OR 2.12, P = 0.020). Further, total length of hospital stay (4.0 vs 3.4 days, P < 0.001) was significantly longer following bilateral surgery.

Can the American College of Surgeons Risk Calculator Predict 30-Day Complications After Knee and Hip Arthroplasty?

Accurate risk stratification of patients undergoing total hip (THA) and knee (TKA) arthroplasty is essential in the highly scrutinized world of pay-for-performance, value-driven healthcare. We assessed the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) surgical risk calculator's ability to predict 30-day complications using 1066 publicly-reported Medicare patients undergoing primary THA or TKA. Risk estimates were significantly associated with complications in the categories of any complication (P = .005), cardiac complication (P < .001), pneumonia (P < .001) and discharge to skilled nursing facility (P < .001). However, predictability of complication occurrence was poor for all complications assessed. To facilitate the equitable provision and reimbursement of patient care, further research is needed to develop accurate risk stratification tools in TKA and THA surgery.

Trials of Intervention Principles: Evaluation Methods for Evolving Behavioral Intervention Technologies

In recent years, there has been increasing discussion of the limitations of traditional randomized controlled trial (RCT) methodologies for the evaluation of eHealth and mHealth interventions, and in particular, the requirement that these interventions be locked down during evaluation. Locking down these interventions locks in defects and eliminates the opportunities for quality improvement and adaptation to the changing technological environment, often leading to validation of tools that are outdated by the time that trial results are published. Furthermore, because behavioral intervention technologies change frequently during real-world deployment, even if a tested intervention were deployed in the real world, its shelf life would be limited. We argue that RCTs will have greater scientific and public health value if they focus on the evaluation of intervention principles (rather than a specific locked-down version of the intervention), allowing for ongoing quality improvement modifications to the behavioral intervention technology based on the core intervention principles, while continuously improving the functionality and maintaining technological currency. This paper is an initial proposal of a framework and methodology for the conduct of trials of intervention principles (TIPs) aimed at minimizing the risks of in-trial changes to intervention technologies and maximizing the potential for knowledge acquisition. The focus on evaluation of intervention principles using clinical and usage outcomes has the potential to provide more generalizable and durable information than trials focused on a single intervention technology.

The Effect of BMI on 30 Day Outcomes Following Total Joint Arthroplasty

Hip and knee arthroplasty (THA, TKA) are safe, effective procedures with reliable, reproducible outcomes. We aim to investigate obesity's effect on complications following arthroplasty surgery. Using the American College of Surgeons-National Surgical Quality Improvement Program database, 13,250 subjects were stratified into 5 groups based on BMI and matched for gender, age, surgery type and ASA class. Matched, multivariable generalized linear models adjusting for demographics and comorbidities demonstrated an association between elevated BMI and overall (P<0.001), medical (P=0.005), surgical complications (P<0.001), including superficial (P=0.019) and deep wound infection (P=0.040), return to OR (P=0.016) and time from OR to discharge (P=0.003). Elevated BMI increases risk for post-operative complications following total joint arthroplasty.

Evaluation of benefit to educational material for photoprotection in those with cutaneous lupus erythematosus

BACKGROUND

Photosensitivity (PS) in cutaneous lupus erythematosus (CLE) contributes to decreased quality of life (QoL).

AIMS

We aimed to assess baseline knowledge about sun protection in persons with CLE and identify knowledge differences by race. Additionally, we aimed to determine the impact of a verbal educational intervention on photoprotection and CLE.

METHODS

31 adults with CLE were recruited from an academic-based dermatology clinic and completed a 17-item questionnaire about CLE and sun protection at three time points: pre- intervention (PR-I), post-intervention (PO-I), and 3-month phone follow up (3MF). An educational intervention using American Academy of Dermatology CLE and sun protection education materials was delivered between PR-I and PO-I.

RESULTS

31 subjects participated at PR-I and PO-I, and 25 subjects (81%) at 3MF. Baseline CLE-related PS and photoprotection knowledge differed significantly by race, with non-Caucasians demonstrating less knowledge (P= 0.049). Knowledge about sun exposure being linked to lupus increased from 81% to 97% (P=0.25) between PR-I and PO-I. At PR-I, 19% agreed that smoking was linked to lupus compared to 90% PO-I (P<0.001). There was increased knowledge of lupus risk for non-Caucasians, UV exposure indoors, and photo-avoidance during peak daytime (P<0.001).

CONCLUSION

There is a baseline disparity in knowledge related to PS and photo protection in CLE by race. A short educational intervention successfully improved immediate lupus-related PS and sun exposure knowledge, but knowledge was not retained long-term. It appears educational materials must be improved.

Efficacy of a sun protection workbook for kidney transplant recipients: a randomized controlled trial of a culturally sensitive educational intervention

A culturally sensitive educational intervention that encouraged sun protection behaviors among kidney transplant recipients (KTRs) was developed and the short-term efficacy was evaluated. Non-Hispanic White, Hispanic/Latino and non-Hispanic Black patients, who received a transplant 2-24 months prior to the study, were randomized into two study groups: intervention versus standard of care. Electronic reminders tailored to the weather conditions were sent every 2 weeks by text message or email. Self-reported surveys and biologic measurements were obtained prior to the intervention and 6 weeks later. Among the 101 study participants, there was a statistically significant increase in knowledge, recognition of personal risk of developing skin cancer, willingness to change sun protection behavior and self-reported performance of sun protection in participants receiving the intervention in comparison with those receiving standard of care (p < 0.05). The pigment darkening of the sun-exposed forearm and sun damage of the forearm and sunburns/skin irritation from the sun were significantly less in participants receiving the intervention (p < 0.05). Providing sun protection education at the beginning of summer with reminders tailored to weather conditions helped KTRs adopt sun protection practices. This sun protection program for KTRs may be incorporated into the care provided by the nephrologist or transplant surgeon.

Comorbid anxiety as a differential treatment predictor for telephone versus face-to-face administered cognitive behavioral therapy for depression

BACKGROUND

The present study examines the role of comorbid anxiety on depression outcomes for those receiving cognitive behavioral therapy (CBT) for depression by telephone (T-CBT) or face-to-face (FtF-CBT).

METHODS

Three hundred twenty-five participants were randomized to T-CBT or FtF-CBT. Comorbid anxiety was measured using the Mini International Neuropsychiatric Interview and Generalized Anxiety Disorder 7. Depression was measured using the Hamilton Rating Scale for Depression and Patient Health Questionnaire 9.

RESULTS

A hierarchical model including the two-way interaction of treatment assignment and anxiety status indicated a significant effect for all outcome variables (Ps < .05). Post hoc t tests indicated T-CBT participants with comorbid anxiety disorders had significantly higher symptom severity over time compared to their T-CBT counterparts without anxiety (Ps < .001) and FtF-CBT counterparts with comorbid anxiety (Ps < .003). There were no significant differences in outcomes between those with and without comorbid anxiety disorders receiving FtF-CBT, or between T-CBT and FtF-CBT among those without comorbid anxiety disorders.

CONCLUSIONS

The findings indicate that the presence of baseline anxiety impacts the overall effect of T-CBT for the treatment of depression.

"Ictal" lateralized periodic discharges

OBJECTIVE

Whether lateralized periodic discharges (LPDs) represent ictal or interictal phenomena, and even the circumstances in which they may represent one or the other, remains highly controversial. Lateralized periodic discharges are, however, widely accepted as being ictal when they are time-locked to clinically apparent symptoms. We sought to investigate the characteristics of "ictal" lateralized periodic discharges (ILPDs) defined by time-locked clinical symptoms in order to explore the utility of using this definition to dichotomize LPDs into "ictal" and "nonictal" categories.

METHODS

Our archive of all continuous EEG (cEEG) reports of adult inpatients undergoing prolonged EEG monitoring for nonelective indications between 2007 and 2011 was searched to identify all reports describing LPDs. Lateralized periodic discharges were considered ILPDs when they were reported as being consistently time-locked to clinical symptoms; LPDs lacking a clear time-locked correlate were considered to be "nonictal" lateralized periodic discharges (NILPDs). Patient charts and available neuroimaging studies were also reviewed. Neurophysiologic localization of LPDs, imaging findings, presence of seizures, discharge outcomes, and other demographic factors were compared between patients with ILPDs and those with NILPDs. p-Values were adjusted for false discovery rate (FDR).

RESULTS

One thousand four hundred fifty-two patients underwent cEEG monitoring at our institution between 2007 and 2011. Lateralized periodic discharges were reported in 90 patients, 10 of whom met criteria for ILPDs. Nine of the patients with ILPDs demonstrated motor symptoms, and the remaining patient experienced stereotyped sensory symptoms. Ictal lateralized periodic discharges had significantly increased odds for involving central head regions (odds ratio [OR]=11; 95% confidence interval [CI]=2.16-62.6; p=0.018, FDR adjusted), with a trend towards higher proportion of lesions involving the primary sensorimotor cortex (p=0.09, FDR adjusted).

CONCLUSIONS

When defined by the presence of a time-locked clinical correlate, ILPDs appear to be strongly associated with a central EEG localization. This is likely due to cortical irritability in central head regions having greater propensity to manifest with positive, clinically apparent, and time-locked symptoms. Thus, dichotomization of ILPDs and NILPDs on this basis principally reflects differences in underlying anatomical locations of the periodic discharges rather than providing a clinically salient categorization.

Pancreatic enzyme replacement therapy dosing and nutritional outcomes in children with cystic fibrosis

OBJECTIVES

To utilize the Cystic Fibrosis Foundation Patient Registry to evaluate whether pancreatic enzyme dose is associated with better nutritional status as measured by average body mass index (BMI) percentile.

STUDY DESIGN

A retrospective analysis of the Cystic Fibrosis Foundation Patient Registry from 2005-2008 was performed. The final analysis included 42 561 patient visits from 14 482 patients 2-20 years of age taking pancreatic enzyme replacement therapy from 179 programs. Cystic fibrosis care programs were assigned to quartiles based on adjusted mean patient BMI percentiles. Differences in median lipase dose between programs in the highest and lowest BMI quartiles were examined using a mixed effects model that adjusted for individual patient BMI, age, race, ethnicity, forced expiratory volume in 1 second percent, acid-blocker use, presence of Pseudomonas aeruginosa, nutritional supplement use, growth hormone use, and diagnosis of cystic fibrosis-related diabetes.

RESULTS

A significant difference in median enzyme dose existed between the highest and lowest BMI quartiles. Multivariable analysis demonstrated the effect persisted after adjustment for covariates. Highest quartile programs had a median enzyme dose of 1755 lipase units/kg/meal compared with 1628 lipase units/kg/meal for lowest quartile programs.

CONCLUSION

Patients attending US cystic fibrosis programs achieving highest nutritional outcomes, measured by mean BMI percentile, have higher enzyme dosing than those attending programs at lower performance levels. Further randomized clinical trials are necessary to determine the role of enzyme dose in improving nutritional outcomes.

Therapeutic alliance in face-to-face and telephone-administered cognitive behavioral therapy

OBJECTIVE

Telephone-administered therapies have emerged as an alternative method of delivery for the treatment of depression, yet concerns persist that the use of the telephone may have a deleterious effect on therapeutic alliance. The purpose of this study was to compare therapeutic alliance in clients receiving cognitive behavioral therapy (CBT) for depression by telephone (T-CBT) or face-to-face (FtF-CBT).

METHOD

We randomized 325 participants to receive 18 sessions of T-CBT or FtF-CBT. The Working Alliance Inventory (WAI) was administered at Weeks 4 and 14. Depression was measured during treatment and over 1 year posttreatment follow-up using the Hamilton Rating Scale for Depression and Patient Health Questionnaire-9.

RESULTS

There were no significant differences in client or therapist WAI between T-CBT or FtF-CBT (Cohen's f² ranged from 0 to .013, all ps > .05). All WAI scores predicted depression end of treatment outcomes (Cohen's f² ranged from .009 to .06, all ps < .02). The relationship between the WAI and depression outcomes did not vary by treatment group (Cohen's f² ranged from 0 to .004, ps > .07). The WAI did not significantly predict depression during posttreatment follow-up (all ps > .12).

CONCLUSIONS

Results from this analysis do not support the hypothesis that the use of the telephone to provide CBT reduces therapeutic alliance relative to FtF-CBT.

Do positive or negative stressful events predict the development of new brain lesions in people with multiple sclerosis?

BACKGROUND

Stressful life events have long been suspected to contribute to multiple sclerosis (MS) disease activity. The few studies examining the relationship between stressful events and neuroimaging markers have been small and inconsistent. This study examined whether different types of stressful events and perceived stress could predict the development of brain lesions.

METHOD

This was a secondary analysis of 121 patients with MS followed for 48 weeks during a randomized controlled trial comparing stress management therapy for MS (SMT-MS) to a waitlist control (WLC). Patients underwent magnetic resonance imaging (MRI) scans every 8 weeks. Every month, patients completed an interview measure assessing stressful life events and self-report measures of perceived stress, anxiety and depressive symptoms, which were used to predict the presence of gadolinium-enhancing (Gd+) and T2 lesions on MRI scans 29-62 days later. Participants classified stressful events as positive or negative. Negative events were considered 'major' if they involved physical threat or threat to the patient's family structure, and 'moderate' otherwise.

RESULTS

Positive stressful events predicted decreased risk for subsequent Gd+ lesions in the control group [odds ratio (OR) 0.53 for each additional positive stressful event, 95% confidence interval (CI) 0.30-0.91] and less risk for new or enlarging T2 lesions regardless of group assignment (OR 0.74, 95% CI 0.55-0.99). Across groups, major negative stressful events predicted Gd+ lesions (OR 1.77, 95% CI 1.18-2.64) and new or enlarging T2 lesions (OR 1.57, 95% CI 1.11-2.23) whereas moderate negative stressful events, perceived stress, anxiety and depressive symptoms did not.

CONCLUSIONS

Major negative stressful events predict increased risk for Gd+ and T2 lesions whereas positive stressful events predict decreased risk.